Alternatives and similar repositories for dcor

Users that are interested in dcor are comparing it to the libraries listed below

• mathurinm / celer
  Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
  ☆234Updated 5 months ago
• GAA-UAM / scikit-fda
  Functional Data Analysis Python package
  ☆335Updated 2 weeks ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆232Updated 4 years ago
• pafoster / pyitlib
  A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.
  ☆101Updated 5 months ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 2 months ago
• scikit-learn-contrib / scikit-learn-extra
  scikit-learn contrib estimators
  ☆198Updated this week
• scikit-hep / resample
  Randomization-based inference in Python
  ☆84Updated last week
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆232Updated last year
• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆107Updated last year
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆186Updated last month
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆286Updated last week
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆119Updated 2 years ago
• partofthething / ace
  Python package for performing the Alternating Conditional Expectation (ACE) regression
  ☆72Updated 2 years ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆291Updated 6 months ago
• DynamicsAndNeuralSystems / pycatch22
  python implementation of catch22
  ☆87Updated 3 months ago
• minepy / mictools
  A practical tool for Maximal Information Coefficient (MIC) analysis
  ☆137Updated last year
• pymc-devs / pymc-bart
  ☆128Updated this week
• SvenSerneels / direpack
  A Python 3 package for state-of-the-art statistical dimension reduction methods
  ☆42Updated last year
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆143Updated 9 months ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆247Updated 5 months ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆148Updated 2 years ago
• neurodata / treeple
  Scikit-learn compatible decision trees beyond those offered in scikit-learn
  ☆85Updated this week
• ireis / PRF
  Probabilistic Random Forest: A machine learning algorithm for noisy datasets
  ☆129Updated last year
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• parsing-science / pymc3_models
  ☆159Updated 3 years ago
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆156Updated last year
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆176Updated 3 years ago
• cgevans / scikits-bootstrap
  Python/numpy bootstrap confidence interval estimation.
  ☆179Updated 3 months ago
• alvaromc317 / asgl
  A regression solver for high dimensional penalized linear, quantile and logistic regression models'
  ☆91Updated 4 months ago
• ELIFE-ASU / PyInform
  A Python Wrapper for the Inform Information Analysis Library
  ☆54Updated 5 years ago